MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations

Sige Bian, He Li 0008, Chengcheng Wang, Changjun Song, Yongming Tang. MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. In 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, Marina Del Rey, CA, USA, May 8-11, 2023. pages 218, IEEE, 2023. [doi]

@inproceedings{Bian0WST23,
  title = {MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations},
  author = {Sige Bian and He Li 0008 and Chengcheng Wang and Changjun Song and Yongming Tang},
  year = {2023},
  doi = {10.1109/FCCM57271.2023.00046},
  url = {https://doi.org/10.1109/FCCM57271.2023.00046},
  researchr = {https://researchr.org/publication/Bian0WST23},
  cites = {0},
  citedby = {0},
  pages = {218},
  booktitle = {31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, Marina Del Rey, CA, USA, May 8-11, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-1205-8},
}